Ireland Job Openings

Amazon Data Services Ireland Limited

Regional Business Intelligence Manager, DCSS Communities

Dublin

FULL TIME

September 4, 2024

Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field
Previous experience in Supply and demand planning, analytics, data engineering or business intelligence.
Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
Experience with data visualization, sensitivity analysis, scenario planning activities etc (Py Plot, Tableau, Salesforce, AWS Quick Sight or similar tools)
Experience writing SQL scripts, queries, and stored procedures to extract data.
Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations

Our team is looking for a Regional Business Intelligence Manager to work with various stakeholder groups to procure data center capacity, support long term scaling strategies for AWS’s infrastructure regions, and manage a portfolio of critical infrastructure agreements. As the Regional Business Intelligence Manager, you will research and manage all areas of transaction deal flow related to data center procurement projects in the region, for both Colocation and Real Estate.

Our Business Intelligence Managers are:

strategically oriented individuals with strong data analysis and communication skills
working within an ambiguous environment
possess a strong sense of ownership,
adept at taking calculated risks in order to act quickly,
organized and have program and project management skills
experts in supply tooling development and have skills to drive supportability aspects within the team.
data driven with a passion for continuous improvement.
directly connecting with senior leaders and key vendors

Key job responsibilities

Leverage advantage data science skills to prepare transaction business case, forecast project costs and partner with internal teams to submit business case for leadership review.
Assist with site selection process, strategy development, data analysis across the region.
Drive our supportability data and other supply tooling to ensure all locations in the region have an understanding of their supply plans.
Manage stakeholder engagement from initial due diligence to contract review and execution, including management of all milestones to track contract execution and delivery from stakeholders.
Support development of Master Telecommunications Service Agreements, Work Orders, Lease Agreements, and other contractual documents
Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
Managing and manipulating complex data sets utilizing multiple analytical tools.
Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness and new value added activities.
Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets
Build rich data visualizations to tell the story of trends, patterns, and outliers. Test and challenge assumptions around DCSS scenario planning, sensitivity analysis, supply/demand planning, business size, and profitability – making recommendations for supply health and supportability activities or improvements to existing structures and frameworks.
Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
Design data pipelines and automated processes which enable in-depth analysis.
Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
Building automation models for our long-term and mid-term capacity planning processes
Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
Experience with statistical analysis using python or similar tools
Familiarity with solutions such as AWS, EC2, S3, Redshift - Knowledge and direct experience using business intelligence reporting tools. (Salesforce, Tableau, Quick Sight etc.)
Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
Experience communicating analytical outcomes to both business and technical teams
Excellent written and verbal communication skills
Strong interpersonal skills and advanced ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.

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